Solutions for data centres, critical IT infrastructure and sovereign AI

We supply and integrate the complete solution: AI appliance, local models, a knowledge base with access permissions, and connections to email, calendar and other applications. Setup, training, monitoring and model maintenance support ongoing operation. Your team reviews results and approves actions.

Financial organisations need infrastructure with clearly defined responsibilities, access rights and operational processes. We help plan in-house IT locations, modernise existing data centres and integrate local AI technically. Business, organisational and regulatory requirements are captured as specific project requirements; no individual technical solution carries a blanket assurance of compliance.

Production data, local applications and connected equipment have different requirements from office IT alone. We assess environmental conditions, power, connectivity and operational interfaces at the site. Modular data centre infrastructure and Edge AI can bring processing closer to applications. The design follows the required response times, data volumes and availability.

Public administrations and municipal organisations need a sound basis for infrastructure decisions. We turn requirements for space, capacity, availability and information security into comparable technical options. For local AI, data sources, user groups and operational responsibilities are considered early. Documentation and coordinated interfaces provide a basis for the next project phases.

Whether expanding, modernising or creating a new site, power density, cooling, power supply and the commercial model influence one another. We support technical planning, assess existing infrastructure and assist implementation within the agreed scope. PUE and heat reuse scenarios are considered using defined assumptions. Changes during ongoing operations require their own sequencing and risk concept.

In-house IT, new sites or your first local AI use case: not every project needs a large data centre from the outset. Together, we clarify the infrastructure needed today and the expansion worth preparing for. Consultancy, planning, modular technology and operational services are aligned with your needs. A manageable starting point helps define requirements and the next decisions.

We translate scientific workloads, GPU requirements, data volumes and usage models into suitable infrastructure. Power supply, cooling, storage and networks are designed together. For local AI, model training and inference, we coordinate capacity, data access and operational responsibilities with the research teams. Modular expansion stages help accommodate new projects and changing workloads.

We plan data centre and edge infrastructure for data-intensive research, laboratory applications and production-related systems. Availability, backups, recovery and the separation of IT and production networks are coordinated early. Together with your specialist and quality teams, we record data integrity, qualification and validation requirements as project specifications. Local AI is integrated around a clearly defined use case and its data sources.

We match computing capacity, storage, network connectivity and technical infrastructure to clinical applications and medical technology processes. Segmented networks, backups and recovery are planned with IT, technical teams and specialist departments. For local AI, we clarify data sources, permissions and responsibilities; specialist review and approval of applications remain part of the deployment concept.